Gazelle Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in London or Edinburgh (Hybrid) with a pay rate of "£X/hour". Key skills required include AWS, ETL/ELT, Python, SQL, and experience in financial services. Contract length is "X months".
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
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🗓️ - Date
June 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Data Engineering #Data Pipeline #Spark (Apache Spark) #Kafka (Apache Kafka) #Security #DataOps #MongoDB #Data Quality #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Snowflake #"ETL (Extract #Transform #Load)" #Batch #Automation #AWS (Amazon Web Services) #AWS Glue #Data Processing #Cloud #DynamoDB #Python #Data Ingestion #Scala
Role description
Data Engineer – London or Edinburgh (Hybrid)
We are looking for experienced Data Engineers to join a major banking transformation programme, building scalable cloud-based data platforms and pipelines that support critical business and analytics functions.
Key Responsibilities:
• Design, build, and maintain data ingestion, transformation, and consumption pipelines
• Develop ETL/ELT solutions using AWS-native services
• Implement batch and real-time data processing using Kafka and event-driven architectures
• Integrate data from multiple sources including Snowflake, S3, MongoDB, and DynamoDB
• Ensure data quality, security, scalability, and performance across platforms
• Contribute to DataOps practices, CI/CD automation, and platform optimisation
Required Skills:
• Strong experience delivering data engineering solutions on AWS
• Expertise in ETL/ELT development and data pipeline orchestration
• Advanced Python and SQL skills; Spark experience desirable
• Hands-on experience with AWS Glue, S3, Kafka, and Snowflake
• Knowledge of DataOps, CI/CD, and distributed data systems
• Experience working within large-scale enterprise environments, ideally financial services
For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
Josh@gazellegc.com
+44 7908143845
Data Engineer – London or Edinburgh (Hybrid)
We are looking for experienced Data Engineers to join a major banking transformation programme, building scalable cloud-based data platforms and pipelines that support critical business and analytics functions.
Key Responsibilities:
• Design, build, and maintain data ingestion, transformation, and consumption pipelines
• Develop ETL/ELT solutions using AWS-native services
• Implement batch and real-time data processing using Kafka and event-driven architectures
• Integrate data from multiple sources including Snowflake, S3, MongoDB, and DynamoDB
• Ensure data quality, security, scalability, and performance across platforms
• Contribute to DataOps practices, CI/CD automation, and platform optimisation
Required Skills:
• Strong experience delivering data engineering solutions on AWS
• Expertise in ETL/ELT development and data pipeline orchestration
• Advanced Python and SQL skills; Spark experience desirable
• Hands-on experience with AWS Glue, S3, Kafka, and Snowflake
• Knowledge of DataOps, CI/CD, and distributed data systems
• Experience working within large-scale enterprise environments, ideally financial services
For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
Josh@gazellegc.com
+44 7908143845
